# Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.


from keras import Sequential
from keras.layers import Dense, Activation
# import the backend module and refer to it with the alias K
from keras import backend as K

model = Sequential()
# Add the first (input) layer (10 nodes) and use the backend's implementation
# of tanh for the activation function
model.add(Dense(10, activation=K.tanh, input_shape=(13,)))

